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61
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62
UAV-Aided Projection-Based Compressive Data Gathering in Wireless Sensor Networks
منشور في 2018"…Our problem definition aims at clustering the sensors, constructing an optimized forwarding tree per cluster, and gathering the data from selected cluster head nodes based on projection-based CDG with minimized UAV trajectory distance. …"
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article -
63
An ant colony optimization algorithm to improve software quality prediction models
منشور في 2011"…Method This paper presents an adaptive approach that takes already built predictive models and adapts them (one at a time) to new data. We use an ant colony optimization algorithm in the adaptation process. …"
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article -
64
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65
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66
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
منشور في 2024"…Although Evolutionary Algorithms (EAs) have shown promise in the literature for feature selection, creating EAs for high dimensions is still challenging. …"
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67
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68
RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.
منشور في 2020"…The optimizer allocates the subtasks of data analytic tasks to the most suitable platforms. …"
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69
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70
Bee colony algorithm for assigning proctors to exams. (c2013)
منشور في 2013احصل على النص الكامل
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masterThesis -
71
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72
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73
A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)
منشور في 2016"…Our algorithm first performs a feature selection step to define differentiable SNPs. …"
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masterThesis -
74
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …"
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75
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76
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
منشور في 2020"…TIDCS reduces the number of features in the input data based on a new algorithm for feature selection. …"
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77
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
منشور في 2019"…The proposed model achieves better classification accuracy compared to the recently reported work when validated on SJTU SEED and DEAP data sets. For optimal classification performance, we use a support vector machine (SVM) and k-nearest neighbor (k-NN) to classify the extracted features for the different emotional states of the two data sets. …"
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78
Revolutionizing sustainable supply chain management: A review of metaheuristics
منشور في 2023"…It then introduces the concept of metaheuristics and describes their use in solving complex optimization problems. The paper reviews various metaheuristics algorithms applied to sustainable supply chain management and analyzes their effectiveness in addressing the challenges of SSCM. …"
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79
Parameter identification of PV solar cells and modules using bio dynamics grasshopper optimization algorithm
منشور في 2024"…However, accurate modelling and identification of PV cell parameters pose challenges, prompting the adoption of meta‐heuristic optimization algorithms. This work explores the limitations of existing algorithms and introduces a novel approach, the bio‐dynamics grasshopper optimization algorithm (BDGOA). …"
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80
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
منشور في 2023"…This paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. …"
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